![]() Data Science Fundamentals with Python and SQL/python-for-applied-data-science-ai/05_analyzing-us-economic-data-and-building-a-dashboard/02_digital-badge/01_ibm-digital-badge_instructions.html Data Science Fundamentals with Python and SQL/statistics-for-data-science-python/05_hypothesis-testing/02_hypothesis-testing-labs-and-assessments/02_hypothesis-testing_exam.html Data Science Fundamentals with Python and SQL/open-source-tools-for-data-science/02_open-source-tools/01_github/06_contributing-to-repositories-via-pull-request-optional.mp4 Data Science Fundamentals with Python and SQL/statistics-for-data-science-python/03_data-visualization/01_charts-and-graphs-in-statistics/03_statistical-charts.en.srt Data Science Fundamentals with Python and SQL/open-source-tools-for-data-science/04_final-assignment-create-and-share-your-jupyter-notebook/02_digital-badge/01_ibm-digital-badge_instructions.html Data Science Fundamentals with Python and SQL/statistics-for-data-science-python/01_course-introduction-and-python-basics/01_course-introduction-and-python-basics/04_optional-basics-of-jupyter-notebooks_instructions.html Data Science Fundamentals with Python and SQL/open-source-tools-for-data-science/02_open-source-tools/01_github/04_git-and-github-via-command-line-optional.mp4 Data Science Fundamentals with Python and SQL/open-source-tools-for-data-science/03_ibm-tools-for-data-science/02_other-ibm-tools/10_practice-quiz-other-ibm-tools_quiz.html Data Science Fundamentals with Python and SQL/sql-data-science/04_week-4-course-assignment/03_digital-badge/01_ibm-digital-badge_instructions.html Data Science Fundamentals with Python and SQL/open-source-tools-for-data-science/01_data-scientists-toolkit/01_languages-of-data-science/02_languages-of-data-science.en.srt Data Science Fundamentals with Python and SQL/sql-data-science/03_week-3-accessing-databases-using-python/02_optional-using-join-operations-to-work-with-multiple-tables/01_about-this-optional-section_instructions.html ![]() Data Science Fundamentals with Python and SQL/sql-data-science/02_week-2-advanced-sql/02_functions-sub-queries-multiple-tables/04_working-with-multiple-tables_AliasesWithMultipleTables.jpg Data Science Fundamentals with Python and SQL/python-for-applied-data-science-ai/03_python-programming-fundamentals/03_functions/01_functions.mp4 No prior knowledge of databases, SQL, Python, or programming is required.Data Science Fundamentals with Python and SQL (415 files) You will also learn how to access databases from Jupyter notebooks using SQL and Python. Through a series of hands-on labs, you will practice building and running SQL queries. ![]() You will create a database instance in the cloud. As such, you will work with real databases, real data science tools, and real-world datasets. ![]() The emphasis in this course is on hands-on, practical learning. It is also intended to get you started with performing SQL access in a data science environment. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. Much of the world's data lives in databases. Enroll to learn more, complete the course and claim your badge! Please Note: Learners who successfully complete this IBM course can earn a skill badge - a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course.
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